RRTMG_SW

- class climlab.radiation.rrtm.rrtmg_sw.RRTMG_SW(icld=1, irng=1, permuteseed=150, dyofyr=0, inflgsw=2, iceflgsw=1, liqflgsw=1, tauc=0.0, ssac=0.0, asmc=0.0, fsfc=0.0, iaer=0, tauaer=0.0, ssaaer=0.0, asmaer=0.0, ecaer=0.0, isolvar=-1, indsolvar=array([1., 1.]), bndsolvar=array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]), solcycfrac=1.0, **kwargs)[source]
Bases:
_Radiation_SW- Attributes:
- current_time
depthDepth at grid centers (m)
depth_boundsDepth at grid interfaces (m)
diagnosticsDictionary access to all diagnostic variables
- elapsed_time
inputDictionary access to all input variables
- insolation
latLatitude of grid centers (degrees North)
lat_boundsLatitude of grid interfaces (degrees North)
levPressure levels at grid centers (hPa or mb)
lev_boundsPressure levels at grid interfaces (hPa or mb)
lonLongitude of grid centers (degrees)
lon_boundsLongitude of grid interfaces (degrees)
timestepThe amount of time over which
step_forward()is integrating in unit seconds.timestep_in_secondsReturn a float value representing the timestep in units of seconds
Methods
add_diagnostic(name[, value])Create a new diagnostic variable called
namefor this process and initialize it with the givenvalue.add_input(name[, value])Create a new input variable called
namefor this process and initialize it with the givenvalue.add_subprocess(name, proc[, verbose])Adds a single subprocess to this process.
add_subprocesses(procdict)Adds a dictionary of subproceses to this process.
compute()Computes the tendencies for all state variables given current state and specified input.
compute_diagnostics([num_iter])Compute all tendencies and diagnostics, but don't update model state.
declare_diagnostics(diaglist)Add the variable names in
inputlistto the list of diagnostics.declare_input(inputlist)Add the variable names in
inputlistto the list of necessary inputs.integrate_converge([crit, verbose])Integrates the model until model states are converging.
integrate_days([days, verbose])Integrates the model forward for a specified number of days.
integrate_years([years, verbose])Integrates the model by a given number of years.
remove_diagnostic(name)Removes a diagnostic from the
process.diagnosticdictionary and also delete the associated process attribute.remove_subprocess(name[, verbose])Removes a single subprocess from this process.
set_state(name, value)Sets the variable
nameto a new statevalue.step_forward()Updates state variables with computed tendencies.
to_xarray([diagnostics, timeave])Convert process variables to
xarray.Datasetformat.